651 citations · 1.4k across the 19 of their papers we have counts for
21 papers
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
Aqeel Labash, Florian Fletzer, Daniel Majoral +1
Adapting to regularities of the environment is critical for biological organisms to anticipate events and plan. A prominent example is the circadian rhythm corresponding to the int…
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru, Aqeel Labash, Oriol Corcoll +1
Theory of Mind is an essential ability of humans to infer the mental states of others. Here we provide a coherent summary of the potential, current progress, and problems of deep l…
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll, Youssef Mohamed, Raul Vicente
Identifying controllable aspects of the environment has proven to be an extraordinary intrinsic motivator to reinforcement learning agents. Despite repeatedly achieving State-of-th…
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops
Florian Stelzer, André Röhm, Raul Vicente +2
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neur…
Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Partial information decomposition (PID) partitions the information that a set of sources has about a target variable into synergistic, unique, and redundant contributions. This inf…
Disentangling causal effects for hierarchical reinforcement learning
Oriol Corcoll, Raul Vicente
Exploration and credit assignment under sparse rewards are still challenging problems. We argue that these challenges arise in part due to the intrinsic rigidity of operating at th…
The many faces of deep learning
Raul Vicente
Deep learning has sparked a network of mutual interactions between different disciplines and AI. Naturally, each discipline focuses and interprets the workings of deep learning in…
Direct information transfer rate optimisation for SSVEP-based BCI
Anti Ingel, Ilya Kuzovkin, Raul Vicente
In this work, a classification method for SSVEP-based BCI is proposed. The classification method uses features extracted by traditional SSVEP-based BCI methods and finds optimal di…
Perspective Taking in Deep Reinforcement Learning Agents
Aqeel Labash, Jaan Aru, Tambet Matiisen +2
Perspective taking is the ability to take the point of view of another agent. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an…
MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition
Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis +1
Chicharro (2017) introduced a procedure to determine multivariate partial information measures within the maximum entropy framework, separating unique, redundant, and synergistic c…
APES: a Python toolbox for simulating reinforcement learning environments
Aqeel Labash, Ardi Tampuu, Tambet Matiisen +2
Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents in…
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks
Patricia Wollstadt, Joseph T. Lizier, Raul Vicente +5
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using…
Do deep reinforcement learning agents model intentions?
Tambet Matiisen, Aqeel Labash, Daniel Majoral +2
Inferring other agents' mental states such as their knowledge, beliefs and intentions is thought to be essential for effective interactions with other agents. Recently, multiagent…
What deep learning can tell us about higher cognitive functions like mindreading?
Jaan Aru, Raul Vicente
Can deep learning (DL) guide our understanding of computations happening in biological brain? We will first briefly consider how DL has contributed to the research on visual object…
BROJA-2PID: A robust estimator for bivariate partial information decomposition
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Makkeh, Theis, and Vicente found in [8] that Cone Programming model is the most robust to compute the Bertschinger et al. partial information decompostion (BROJA PID) measure [1].…
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Ardi Tampuu, Tambet Matiisen, Dorian Kodelja +5
Multiagent systems appear in most social, economical, and political situations. In the present work we extend the Deep Q-Learning Network architecture proposed by Google DeepMind t…
Personality cannot be predicted from the power of resting state EEG
Kristjan Korjus, Andero Uusberg, Helen Uibo +5
In the present study we asked whether it is possible to decode personality traits from resting state EEG data. EEG was recorded from a large sample of subjects (N = 309) who had an…
Untangling cross-frequency coupling in neuroscience
Juhan Aru, Jaan Aru, Viola Priesemann +5
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and temporal scales. Despite its potential relevance for understanding healthy and pat…
Efficient transfer entropy analysis of non-stationary neural time series
Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente +2
Information theory allows us to investigate information processing in neural systems in terms of information transfer, storage and modification. Especially the measure of informati…
Assessing coupling dynamics from an ensemble of time series
German Gomez-Herrero, Wei Wu, Kalle Rutanen +3
Finding interdependency relations between (possibly multivariate) time series provides valuable knowledge about the processes that generate the signals. Information theory sets a n…
Zero-lag long-range synchronization via dynamical relaying
Ingo Fischer, Raul Vicente, Javier M. Buldu +4
We show that simultaneous synchronization between two delay-coupled oscillators can be achieved by relaying the dynamics via a third mediating element, which surprisingly lags behi…